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This paper proposes an integrated joint source-channel decoder (I-JSCD) using Max-Log-MAP method for sources en-coded with exp-Golomb codes and convolutional codes, and pro-poses a system applying this method to decoding the VLC data, e.g. motion vector differences (MVDs), of H.264 across an AWGN channel. This method combines the source code state-space and the channel code state-space together to construct a joint state-space, develops a 3-D trellis and a maximum a-posterior (MAP) algorithm to estimate the source sequence symbol by symbol, and then uses max-log approximation to simplify the al-gorithm. Experiments indicate that the proposed system gives significant improvements on peak signal-to-noise ratio (PSNR) (maximum about 15 dB) than a separate scheme. This also leads to a higher visual quality of video stream over a highly noisy channel.
This paper proposes an integrated joint source-channel decoder (I-JSCD) using Max-Log-MAP method for sources en-coded with exp-Golomb codes and convolutional codes, and pro-poses a system applying this method to decoding the VLC data eg motion vector differences (MVDs), of H.264 across an AWGN channel. This method combines the source code state-space and the channel code state-space together to construct a joint state-space, develops a 3-D trellis and a maximum a-posterior (MAP) algorithm to estimate the source sequence symbol by symbol, and then uses max-log approximation to simplify the al-gorithm. Experiments indicate that the proposed system gives significant improvements on peak signal-to-noise ratio ( PSNR) (maximum about 15 dB) than a separate scheme. This also leads to a higher visual quality of video stream over a highly noisy channel.